{"id":"W1529618666","doi":"10.7202/013723ar","title":"Experience Rating, Work Injuries and Benefit Costs","year":2006,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workers' compensation; Incentive; Work (physics); Compensation (psychology); Affect (linguistics); Actuarial science; Business; Occupational safety and health; Health care; Rating system; Set (abstract data type); Medicine; Psychology; Economics; Engineering; Computer science; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001376643,0.0001828055,0.0003006287,0.002453523,0.0005080855,0.0009513031,0.0005689234,0.0005065278,0.006451283],"category_scores_gemma":[0.0182199,0.0001694264,0.0005043871,0.002184112,0.0004487844,0.0006719028,0.0007123717,0.001107025,0.0004934796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943829,"about_ca_system_score_gemma":0.0008990313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0699428,"about_ca_topic_score_gemma":0.100785,"domain_scores_codex":[0.9969643,0.0006263203,0.0003159134,0.0001845072,0.001398028,0.0005110449],"domain_scores_gemma":[0.9853393,0.003315432,0.006788011,0.0005271779,0.002122237,0.001907913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002187372,0.000276857,0.9719077,0.00007944439,0.0001164954,0.0001253657,0.0001379287,0.0008983606,0.00008088499,0.0009679518,0.002270987,0.02291936],"study_design_scores_gemma":[0.000007479966,0.00005240174,0.9978256,0.00002453709,0.00001960029,0.00009427987,0.0001097187,0.0003179713,0.0000185049,0.0002178828,0.001306506,0.000005536545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686328,0.003464659,0.0005705846,0.001094473,0.00005590815,0.000115838,0.005423101,0.00003312837,0.02060957],"genre_scores_gemma":[0.9929859,0.0006390294,0.0002297176,0.00007960631,0.00004653187,0.00002796193,0.002644691,0.000005094897,0.003341462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0699428,"threshold_uncertainty_score":0.1390714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04178800682032954,"score_gpt":0.35766889818257,"score_spread":0.3158808913622405,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}